Quantification of carbon sequestration by urban forest using Landsat 8 OLI and machine learning algorithms in Jodhpur, India
•Geospatial data with Machine learning algorithms can accurately predict urban forest aboveground biomass and carbon in arid region.•The use of different feature selection methods can help in selecting the best variables for carbon modeling.•XGBoost algorithm has the highest prediction accuracy as c...
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| Published in: | Urban forestry & urban greening Vol. 67; p. 127445 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier GmbH
01.01.2022
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| Subjects: | |
| ISSN: | 1618-8667, 1610-8167 |
| Online Access: | Get full text |
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